Lead Engineer - Product Catalog Team

Stitch Fix

6h•$111,800 - $186,000

About The Position

As a Lead Engineer on the Product Catalog Manager Team, you will help set the technical direction for the systems that power Stitch Fix’s product data ecosystem. You will work on the tools, workflows, and data models that support the full product lifecycle, from new style creation and catalog enrichment to product readiness, validation, and downstream product experiences. You will own complex problem spaces from discovery through delivery, translate business and merchandising needs into scalable technical solutions, and lead execution across ambiguous, cross-functional initiatives. This role requires strong technical judgment, deep ownership, clear communication, and the ability to influence partners across Engineering, Product, Merchandising, Data Science, and Operations. Your work will directly impact product data quality, catalog accuracy, merchandising efficiency, product readiness, and the client experience.

Requirements

5+ years of software engineering experience with demonstrated impact in complex domains.
Experience building and operating large-scale production systems, data platforms, workflow tools, or product information systems.
Strong domain interest or experience in catalog management, product data, merchandising systems, e-commerce, supply chain, or similarly operationally intensive environments.
Fluent in at least one modern programming language, such as Go, Java, Ruby, Python, or similar, and are willing to work across languages.
Proven track record of independently driving initiatives through ambiguity, from discovery to delivery.
Communicate clearly and effectively, translating technical details into business outcomes for diverse audiences.
Skilled at navigating cross-functional dynamics and negotiating tradeoffs to move work forward.
Proven experience with relational databases, such as Postgres or MySQL, and can quickly ramp on new technologies.
Built and operated services on a major cloud platform, such as AWS, GCP, or Azure, and are comfortable with observability tools such as Datadog.
Understand the importance of data quality, workflow reliability, and system observability in supporting business-critical operations.
Value automated testing, continuous delivery, and observability as core pillars of engineering quality.

Responsibilities

Own and evolve critical catalog systems, including product onboarding, attribute management, data enrichment, validation workflows, and product readiness tooling.
Design and operate scalable services and data models that ensure product information is accurate, complete, consistent, and available to downstream systems.
Drive discovery with Product, Merchandising, Data Science, and Operations partners to identify high-impact problems, evaluate tradeoffs, and define clear technical roadmaps.
Independently lead initiatives from concept through production rollout, including technical design, implementation, launch, and measurement of outcomes.
Improve catalog data quality by building systems that detect, prevent, and resolve incomplete, inaccurate, or inconsistent product information.
Ensure catalog workflows support efficient merchandising operations and help teams prepare products for sale at scale.
Mentor engineers through code reviews, architecture discussions, technical feedback, and shared ownership of engineering standards.
Instrument, monitor, and tune systems for reliability, performance, scalability, and cost efficiency.
Work collaboratively with cross-functional partners to align technical solutions with business needs and operational workflows.